class_docstr: IODataset
docstr: Creates an `GraphIODataset` from a postgresql server endpoint.
  
  Args:
    query: A string, the sql query string.
    endpoint: A string, the server address of postgresql server.
    spec: A structured (tuple) tf.TensorSpec of the dataset.
      In graph mode, spec is needed. In eager mode,
      spec is probed automatically.
    name: A name prefix for the IODataset (optional).
  
  Returns:
    A `IODataset`.
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code: def from_sql(cls, query, endpoint=None, spec=None):
      """Creates an `GraphIODataset` from a postgresql server endpoint.
  
      Args:
        query: A string, the sql query string.
        endpoint: A string, the server address of postgresql server.
        spec: A structured (tuple) tf.TensorSpec of the dataset.
          In graph mode, spec is needed. In eager mode,
          spec is probed automatically.
        name: A name prefix for the IODataset (optional).
  
      Returns:
        A `IODataset`.
      """
      return sql_dataset_ops.SQLIODataset(
          query, endpoint=endpoint, spec=spec
      )
  
imports: import tensorflow
  from tensorflow_io.python.ops import io_dataset
  from tensorflow_io.python.experimental import libsvm_dataset_ops
  from tensorflow_io.python.experimental import image_dataset_ops
  from tensorflow_io.python.experimental import kinesis_dataset_ops
  from tensorflow_io.python.experimental import pubsub_dataset_ops
  from tensorflow_io.python.experimental import grpc_dataset_ops
  from tensorflow_io.python.experimental import file_dataset_ops
  from tensorflow_io.python.experimental import numpy_dataset_ops
  from tensorflow_io.python.experimental import sql_dataset_ops
  from tensorflow_io.python.experimental import video_dataset_ops
label_desc: Use image node_id 8 for calling the IODataset obj's underlying member method code with example usage: obj.from_sql(cls, query, endpoint, spec) and returns: sql_dataset_ops